The Potential of Artificial Intelligence in Personalizing Learning Experiences for Students in Remote Chinese Regions
Year: 2025
Type: article
Study design: Clinical Trial
Abstract: This study investigates the potential of artificial intelligence (AI) in personalizing learning for students in remote Chinese regions, a context characterized by significant educational disparities and resource scarcity. Using a quantitative quasi-experimental design with a pre-test/post-test control group, the research evaluated the impact of an AI-powered personalized learning platform over a six-month period. The sample consisted of middle school students and teachers in an underserved rural area. Key metrics included student academic performance, engagement levels, and teacher-reported workload and technology confidence. The findings reveal a statistically significant positive effect of the AI intervention. Students in the experimental group showed a remarkable 26.2% average score improvement, nearly double that of the control group. This was accompanied by a significant increase in student engagement, as evidenced by a higher post-test score on a motivational scale. Concurrently, teachers in the AI group reported a substantial reduction in time spent on grading and a marked increase in their confidence in using educational technology. The results suggest that AI offers a viable and effective strategy for bridging educational resource gaps, enhancing student outcomes, and empowering educators in geographically isolated and under-resourced environments. The study provides a strong empirical foundation for the strategic integration of AI into educational policy aimed at promoting equity.
Author: Mengyingyi Lei
Institution: SEGi University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4413236832